Model: GELU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 964 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('gelu-2l')
Text #0
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Data Index: 1244682 (C4 (Web Text))
Max Activating Token Index: 807
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Text #1
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Data Index: 1154935 (C4 (Web Text))
Max Activating Token Index: 401
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Text #2
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Data Index: 38633 (C4 (Web Text))
Max Activating Token Index: 741
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Text #3
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Data Index: 1281901 (C4 (Web Text))
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Text #4
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Data Index: 1271722 (C4 (Web Text))
Max Activating Token Index: 210
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Text #5
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Data Index: 566729 (C4 (Web Text))
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Text #6
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Data Index: 836117 (C4 (Web Text))
Max Activating Token Index: 833
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Text #7
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Data Index: 38851 (C4 (Web Text))
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Text #8
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Data Index: 1051875 (C4 (Web Text))
Max Activating Token Index: 301
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Text #9
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Data Index: 801345 (C4 (Web Text))
Max Activating Token Index: 1007
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Text #10
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Data Index: 478543 (C4 (Web Text))
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Text #11
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Data Index: 254122 (C4 (Web Text))
Max Activating Token Index: 790
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Text #12
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Data Index: 527341 (C4 (Web Text))
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Text #13
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Data Index: 82544 (C4 (Web Text))
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Text #14
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Data Index: 386775 (C4 (Web Text))
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Text #15
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Data Index: 673564 (C4 (Web Text))
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Text #16
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Data Index: 1235146 (C4 (Web Text))
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Text #17
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Text #18
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Data Index: 454067 (C4 (Web Text))
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Text #19
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Data Index: 285994 (C4 (Web Text))
Max Activating Token Index: 197
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